Training a bot is like teaching a kid — but we just need to do it once

Introducing the intents

Automation by Botbot.AI is triggered by the intents it receives.

Unlike keywords, intents can be furnished with context. The same intent with different contexts may be recognized differently, thus calling for different workflows to execute. While keywords will take these two sentences as similar, intents can differentiate between “I want my credit card” and “I want a credit card”. As humans, we can see the difference clearly.

Training the bot

Using this intent management dashboard, we introduce the intents to the chatbot, add some sample user utterances, attach some context, and tell the chatbot how to respond to the intent.

After the training portion, we can test the intent and see if we hit an adequate confidence score (> 80%) for that intent. Upon failing, we need to add more utterances — or, give it more data — until the chatbot can confidently distinguish that particular intent from other intents.

One training dashboard for your chatbots army

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Intent categorization — neat and easy to manage

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Sample user utterances — increase your chatbot’s terms library

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Context of conversation — increase the accuracy of your chatbot

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Response artboard — customize your response here

More accurate than keywords

Attach some contexts and adequate number of sample user utterances to increase the accuracy of your chatbot.

Test your chatbot’s confidence score

Aim to get at least a 90% confidence score for each intent, to make sure that the chatbot can distinguish this particular intent from other intents.

Customize and vary the response

Craft your chatbot’s responses with text, image, video, or carousel to better answer the enquiries, and prepare some response variations.

Get a free trial of training a chatbot using our dashboard

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Botbot.AI

For enterprises and organizations, Botbot.AI is a productivity solution that enhances business processes through automating conversations.